Population mobility models of urban disease outbreak

城市疾病爆发的人口流动模型

• 批准号: 7230432
• 负责人: STEPHEN G EUBANK
• 金额: $ 67.13万
• 依托单位: VIRGINIA POLYTECHNIC INST AND ST UNIV
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-05-01 至 2009-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7230432
• 关键词: Accident and Emergency department; Address; Adult; Aerosols; Algorithms; Behavior; Caregivers; Child; Computer software; Computing Methodologies; Critical Pathways; Data; Databases; Detection; Disease; Disease Outbreaks; Disease model; Effectiveness; Elements; Ensure; Epidemic; Epidemiology; Exposure to; Goals; Health; Health Care Seeking Behavior; Health Personnel; Heart; Home environment; Human; Immune response; Individual; Informatics; Intervention; Location; Medicine; Modeling; Pathway interactions; Pattern; Population; Population Sizes; Property; Quarantine; Reaction; Research; Resources; Role; Schedule; Simulate; Social Network; Specific qualifier value; Standards of Weights and Measures; Symptoms; System; Time; TimeLine; Translating; Urban Population; Vaccination; Vector-transmitted infectious disease; Visit; Work; base; design; desire; disease transmission; improved; novel; pathogen; response; simulation; tool; transmission process; urban area

DESCRIPTION (provided by applicant): This project will design, build, and validate models of disease epidemiology and response systems based on individuals' roles in a social network. It will focus on mathematical and computational methods for modelling exposure to pathogens and their products as well as the effectiveness and consequences of different intervention strategies. In particular, it will explore the effects of human contact patterns in urban areas on disease transmission dynamics and the consequences of proposed early and mid-term responses to intentional or natural releases of pathogens. The project will produce a simulation system tracking the transmission of multiple co-circulating and interacting diseases in a synthetic population. Flexible user-specified scenarios will include such parameterized elements as: host-pathogen interactions; disease transmission dynamics; initial health state of the population; the mode of a pathogen's introduction into the population; and choice and scheduling of response strategies, which might be demographically and/or geographically targeted. The simulation will rely on existing estimates of contact patterns in a synthetic urban population of 1.5 million individuals. Research topics will include how these patterns might change in the presence of an outbreak. In addition, the project will undertake a mathematical, structural analysis of the estimated contact patterns at the heart of the simulation. The goals of this analysis are: to determine the features of social networks that best characterize their response to epidemics and mitigation strategies; to develop efficient algorithms for evaluating these features in very large networks; to estimate variability in these features among different urban areas and different size populations; and to provide the capability for generating stochastic but realistic instances of social networks. All results will be communicated in a timely fashion to the MIDAS Informatics Group. The project intends to provide software (both the simulation itself and analysis tools for social networks) and also epidemiological data arising from simulation of a set of standard scenarios

描述（由申请人提供）：本项目将设计、构建和验证基于个人在社会网络中的角色的疾病流行病学和反应系统模型。它将侧重于模拟病原体及其产品暴露的数学和计算方法，以及不同干预策略的有效性和后果。特别是，它将探讨城市地区人类接触模式对疾病传播动态的影响，以及对故意或自然释放病原体提出的早期和中期对策的后果。